Run: 2026-02-19-01KHTXCW26T276GT7TZFN9DJDD

Run Details

Duration:
37.3s
Cost:
$0.028755
Provider:
Amazon Bedrock

Model input

System
You are an expert fiction writer. Always keep the following rules in mind: - Write in past tense and use General English spelling, grammar, and colloquialisms/slang. - Write in active voice - Always follow the "show, don't tell" principle. - Avoid adverbs and cliches and overused/commonly used phrases. Aim for fresh and original descriptions. - Convey events and story through dialogue. - Mix short, punchy sentences with long, descriptive ones. Drop fill words to add variety. - Skip "he/she said said" dialogue tags and convey people's actions or face expressions through their speech - Avoid mushy dialog and descriptions, have dialogue always continue the action, never stall or add unnecessary fluff. Vary the descriptions to not repeat yourself. - Put dialogue on its own paragraph to separate scene and action. - Reduce indicators of uncertainty like "trying" or "maybe" When writing text: - NEVER conclude the scene on your own, follow the beat instructions very closely. - NEVER end with foreshadowing. - NEVER write further than what I prompt you with. - AVOID imagining possible endings, NEVER deviate from the instructions. - STOP EARLY if the continuation contains what was required in the instructions. You do not need to fill out the full amount of words possible.
User/Human
Take into account the following glossary of characters/locations/items/lore... when writing your response: <codex> <character id="4416" name="Detective Harlow Quinn" aliases="Quinn, Detective Quinn, Harlow" pronouns="she/her" species="Human" storyRole="Antagonist"> <eyeColor>brown</eyeColor> <hair>closely cropped salt-and-pepper</hair> <height>5'9"</height> <age>41</age> <jawline>sharp jaw</jawline> <watch>worn leather watch on her left wrist</watch> <bearing>military precision</bearing> <description>A Metropolitan Police detective with 18 years of decorated service who suspects the clique is involved in criminal activity.</description> <backstory>She lost her partner, DS Morris, during a case three years ago under unexplained circumstances that had supernatural origins she doesn't yet understand.</backstory> </character> <character id="4414" name="Eva Kowalski" aliases="Eva, Evie" pronouns="she/her" species="Human" storyRole="Best Friend"> <eyeColor>green</eyeColor> <hair>curly red</hair> <height>5'4"</height> <age>26</age> <glasses>round glasses</glasses> <satchel>worn leather satchel full of books</satchel> <freckles>freckled complexion</freckles> <nervousHabit>tucking hair behind her left ear</nervousHabit> <description>Aurora's childhood friend and an occult researcher.</description> <backstory>Moved to London two years before Aurora and works as a research assistant at the British Museum's restricted archives. She holds a master's degree in Ancient History from Oxford.</backstory> </character> <location id="856" name="The Veil Market" aliases="Veil Market, the Market, underground market" realm="Earth"> <currentLocation>abandoned Tube station beneath Camden</currentLocation> <entryRequirement>bone token</entryRequirement> <schedule>moves locations every full moon</schedule> <description>A hidden supernatural black market that sells enchanted goods, banned alchemical substances, and information.</description> </location> <item id="2004" name="Veil Compass" aliases="the Compass, shadow compass" type="Tool" origin="The Veil Market"> <casingMaterial>small brass compass</casingMaterial> <faceMarkings>face etched with protective sigils</faceMarkings> <needle>points toward the nearest supernatural rift or portal</needle> <patina>casing has a patina of verdigris</patina> <creator>crafted by a Shade artisan</creator> <description>A compass attuned to supernatural energy.</description> </item> </codex> Continue the story using the following instructions: <instructions> Write a fully fleshed out scene of at least 1000 words in the mystery genre. A detective arrives at a crime scene in an unusual location. Something is wrong — the evidence doesn't add up. A colleague is present, offering a different interpretation. Through careful observation and deduction, the detective begins to see what others have missed. Use the codex entries above as your world reference for characters and setting. Only include the prose of the scene without any markdown or commentary. </instructions>

Model response

AI
The smell hit Quinn first—copper and rot mingling with something acrid that made her sinuses burn. She ducked beneath the police tape strung across the entrance to the abandoned Tube station, her boots finding purchase on the slick stairs that descended into Camden's forgotten underground. The forensics lights cast harsh shadows across Victorian-era tilework, most of it cracked and stained with decades of neglect. DS Patel waited at the bottom, his face waxen in the artificial glare. "Boss. You're going to want gloves for this one." Quinn snapped on the latex without comment, scanning the platform as she approached. The body lay crumpled against the far wall, a young man in his twenties wearing an expensive jacket that didn't match the location. Blood pooled beneath him, but the pattern was wrong—too contained, as if it had been poured rather than spilled from trauma. "What do we know?" "Marcus Chen, twenty-four. Investment banker at Barclays." Patel consulted his notebook. "Flatmate reported him missing three days ago. No signs of struggle at his residence, wallet and phone still in his pocket with two hundred quid in cash." Quinn crouched beside the body, examining the visible wounds. Three parallel lacerations across the throat, deep and precise. The edges were too clean for a knife, the spacing too regular. She'd seen claw marks before, mostly in animal attack cases where dogs had gone feral. These were similar but larger, more deliberate in their placement. "Theory?" "Vagrant attack, maybe. Someone living rough down here caught Chen wandering where he shouldn't." Patel shifted his weight. "There's a couple of homeless encampments in the deeper tunnels. Could have been defending territory." Quinn stood, following the blood trail with her eyes. It led not from the entrance but from a recessed alcove that once housed ticket machines. The machines were long gone, leaving only mounting brackets bolted to brick. She walked over, noting the scuff marks on the ground—circular patterns in the grime, as if something heavy had been dragged in circles. "Why would Chen come down here in a thousand-pound coat?" She ran her light across the alcove's interior. "This station's been sealed for forty years. The entrance was chained until recently." "Maybe curiosity? Urban exploration's popular with the finance crowd. They get bored counting money." Quinn examined the chains that had secured the entrance gate. Fresh bolt cutter marks scored the metal, but rust still caked the severed ends. Someone had cut through weeks ago, possibly longer. She knelt, studying the threshold where generations of dirt had accumulated. Boot prints, at least a dozen different treads, tracked in and out. Some were recent enough that she could make out manufacturer patterns in the dust. "This location sees regular traffic." Patel moved closer, crowding her light with his own. "Squatters, like I said." "Squatters don't wear Timberlands and Doc Martens in matching sizes." She pointed to a particularly clear print. "That's a women's size seven. And here—trainers, probably Nike, men's eleven. Look at the depth and spacing. These aren't homeless shuffles. These are people walking with purpose." She moved deeper into the platform, following the boot prints toward a service tunnel that branched off into darkness. The forensics team had set up markers here, yellow plastic pyramids flagging points of interest. Quinn catalogued each one—a discarded glass vial near marker three, scorch marks on the wall by marker seven, and near marker twelve, scratched into the brick in what looked like charcoal: coordinates and a date from two weeks prior. "Bag this." Quinn indicated the writing. "And get photos of those burn patterns. I want accelerant analysis." "Could be kids messing about. Drinking, lighting fires." Quinn pulled out her phone, photographing the coordinates herself. Something about them nagged at her, a half-remembered detail from another case. She zoomed in on the charcoal marks, noting the precision of the handwriting. Each number was carefully rendered, almost calligraphic. The vial near marker three was small, pharmaceutical-grade glass with a rubber stopper. She bent to examine it without touching, noting the residue coating the interior—dark and viscous, with an iridescent sheen when her light hit it at the right angle. The smell was stronger here, that same acrid note that had burned her nose at the entrance. "What's the tox screen timeline?" "Rush job. Forty-eight hours, maybe less." Quinn straightened, surveying the entire scene with fresh perspective. The body's position, the contained blood pool, the evidence of regular traffic, the coordinates, the vial—none of it aligned with a random vagrant attack. Chen hadn't stumbled into danger. He'd been meeting someone, or searching for something. Her gaze drifted to Chen's hands. She moved back to the body, crouching again to study his fingers. The right hand was clenched in rigor mortis, but the left lay open, palm up. A black residue stained his palm and fingers, the same iridescent quality as the vial's contents. She leaned closer, catching a scent beneath the blood—herbs and sulfur and something older, like church incense left to moulder in damp stone. "When was the last time you saw wounds like this?" Patel frowned. "Never, boss. That's the thing. Coroner's preliminary says the lacerations show tool marks, not organic patterns. Whatever made them wasn't claws or nails." "So someone wanted it to look like an animal attack but didn't quite nail the details." "Why go to the effort?" Quinn stood again, her mind cataloguing and connecting. The coordinates on the wall, the regular foot traffic, the ritualistic precision of the throat wounds, the strange substances. This location wasn't random—it was chosen, used, maintained by people who knew exactly what they were doing and went to lengths to keep it hidden. She pulled out her phone again, dialling the station. Two rings, then the night desk picked up. "This is Quinn. I need you to pull any reports of suspicious activity near Camden Tube stations going back six months. Cross-reference with missing persons and unsolved assaults in the area. Also, contact the British Museum's security office. Tell them I need to speak with someone from their restricted archives first thing tomorrow." Patel raised an eyebrow. "The museum?" Quinn ignored him, walking the perimeter of the platform once more. Near the service tunnel entrance, another detail caught her attention—scratch marks in the concrete, forming what might have been symbols before time and wear had degraded them. She photographed those too, already compiling a list of experts she'd need to consult. Her partner Morris had kept a network of specialists, academics who could identify obscure markings and unusual materials. She'd avoided them since his death, but this case wouldn't crack itself. "Get me everything from Chen's life. Bank records, phone logs, social media, gym membership—I want to know every place he went and everyone he spoke to in the month before he died. And find out if he had any connections to antiquities, museums, or historical societies." "You're thinking this is organized?" Quinn met his gaze. "I'm thinking we're looking at the crime scene but not the crime. This station's being used for something, and Chen got in the way. We find out what happens down here, we find our killer."
created_at"2026-02-19T12:18:33.675Z" 2/19/2026, 12:18:33 PM
model"anthropic/claude-4.5-sonnet-20250929"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1314
moderation_latency117
generation_time37095
tokens_prompt1149
tokens_completion1933
native_tokens_prompt1145
native_tokens_completion1688
native_tokens_completion_images(null)
native_tokens_reasoning0
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"stop"
usage0.028755
router(null)
provider_responses
0
endpoint_id"d8bee848-f020-454a-b2be-4a7ce868f99f"
id"e68bd140-0a06-4166-9d8b-d27abe50df87"
is_byokfalse
latency1314
model_permaslug"anthropic/claude-4.5-sonnet-20250929"
provider_name"Amazon Bedrock"
status200
api_type"completions"
id"gen-1771503513-vjad565IGO2Z8zy0o76o"
upstream_id"e68bd140-0a06-4166-9d8b-d27abe50df87"
total_cost0.028755
cache_discount(null)
upstream_inference_cost0
provider_name"Amazon Bedrock"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags5
adverbTagCount0
adverbTags(empty)
dialogueSentences28
tagDensity0.179
leniency0.357
rawRatio0
effectiveRatio0
95.87% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1210
totalAiIsmAdverbs1
found
0
adverb"carefully"
count1
highlights
0"carefully"
40.00% AI-ism character names
Target: 0 AI-default names (17 tracked, −20% each)
codexExemptions(empty)
found
0"Chen"
1"Marcus"
2"Patel"
100.00% AI-ism location names
Target: 0 AI-default location names (33 tracked, −20% each)
codexExemptions(empty)
found(empty)
83.47% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1210
totalAiIsms4
found
0
word"scanning"
count1
1
word"weight"
count1
2
word"aligned"
count1
3
word"eyebrow"
count1
highlights
0"scanning"
1"weight"
2"aligned"
3"eyebrow"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches0
maxInWindow0
found(empty)
highlights(empty)
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences60
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences60
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences83
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen54
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1192
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions7
unquotedAttributions0
matches(empty)
75.47% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions24
wordCount805
uniqueNames7
maxNameDensity1.49
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"Quinn"
discoveredNames
Quinn12
Tube1
Camden1
Victorian-era1
Patel6
Chen2
Morris1
persons
0"Quinn"
1"Camden"
2"Patel"
3"Chen"
4"Morris"
places
0"Victorian-era"
globalScore0.755
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences53
glossingSentenceCount1
matches
0"looked like charcoal: coordinates and a d"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.839
wordCount1192
matches
0"not from the entrance but from a recessed alcove"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences83
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs37
mean32.22
std24.24
cv0.752
sampleLengths
064
113
29
357
44
538
655
71
833
960
1031
1114
1269
135
1413
1544
1673
1717
188
1941
2058
215
226
2346
2472
2510
2625
2716
285
2952
3017
3153
326
3382
3446
355
3639
81.87% Passive voice overuse
Target: ≤2% passive sentences
passiveCount4
totalSentences60
matches
0"been poured"
1"been dragged"
2"was clenched"
3"was chosen"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs137
matches
0"were doing"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount9
semicolonCount0
flaggedSentences9
totalSentences83
ratio0.108
matches
0"The smell hit Quinn first—copper and rot mingling with something acrid that made her sinuses burn."
1"Blood pooled beneath him, but the pattern was wrong—too contained, as if it had been poured rather than spilled from trauma."
2"She walked over, noting the scuff marks on the ground—circular patterns in the grime, as if something heavy had been dragged in circles."
3"Quinn catalogued each one—a discarded glass vial near marker three, scorch marks on the wall by marker seven, and near marker twelve, scratched into the brick in what looked like charcoal: coordinates and a date from two weeks prior."
4"She bent to examine it without touching, noting the residue coating the interior—dark and viscous, with an iridescent sheen when her light hit it at the right angle."
5"The body's position, the contained blood pool, the evidence of regular traffic, the coordinates, the vial—none of it aligned with a random vagrant attack."
6"She leaned closer, catching a scent beneath the blood—herbs and sulfur and something older, like church incense left to moulder in damp stone."
7"This location wasn't random—it was chosen, used, maintained by people who knew exactly what they were doing and went to lengths to keep it hidden."
8"Near the service tunnel entrance, another detail caught her attention—scratch marks in the concrete, forming what might have been symbols before time and wear had degraded them."
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount817
adjectiveStacks1
stackExamples
0"left lay open, palm"
adverbCount27
adverbRatio0.033047735618115054
lyAdverbCount6
lyAdverbRatio0.0073439412484700125
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences83
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences83
mean14.36
std9.36
cv0.652
sampleLengths
016
129
219
313
49
513
623
721
84
911
1027
119
129
1312
1415
1510
161
1718
1815
199
2016
2112
2223
2318
2413
2514
2610
2714
288
2911
3012
3114
325
339
344
3517
3627
3719
3815
3939
406
4111
428
439
4412
4513
467
4713
4828
4917
85.14% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats1
diversityRatio0.5180722891566265
totalSentences83
uniqueOpeners43
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences59
matches(empty)
ratio0
97.97% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount18
totalSentences59
matches
0"She ducked beneath the police"
1"She'd seen claw marks before,"
2"It led not from the"
3"She walked over, noting the"
4"She ran her light across"
5"She knelt, studying the threshold"
6"She pointed to a particularly"
7"She moved deeper into the"
8"She zoomed in on the"
9"She bent to examine it"
10"He'd been meeting someone, or"
11"Her gaze drifted to Chen's"
12"She moved back to the"
13"She leaned closer, catching a"
14"She pulled out her phone"
15"She photographed those too, already"
16"Her partner Morris had kept"
17"She'd avoided them since his"
ratio0.305
2.37% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount54
totalSentences59
matches
0"The smell hit Quinn first—copper"
1"She ducked beneath the police"
2"The forensics lights cast harsh"
3"DS Patel waited at the"
4"Quinn snapped on the latex"
5"The body lay crumpled against"
6"Blood pooled beneath him, but"
7"Patel consulted his notebook"
8"Quinn crouched beside the body,"
9"The edges were too clean"
10"She'd seen claw marks before,"
11"These were similar but larger,"
12"Patel shifted his weight"
13"Quinn stood, following the blood"
14"It led not from the"
15"The machines were long gone,"
16"She walked over, noting the"
17"She ran her light across"
18"Quinn examined the chains that"
19"Someone had cut through weeks"
ratio0.915
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences59
matches(empty)
ratio0
67.67% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences38
technicalSentenceCount4
matches
0"She ducked beneath the police tape strung across the entrance to the abandoned Tube station, her boots finding purchase on the slick stairs that descended into …"
1"The body lay crumpled against the far wall, a young man in his twenties wearing an expensive jacket that didn't match the location."
2"This location wasn't random—it was chosen, used, maintained by people who knew exactly what they were doing and went to lengths to keep it hidden."
3"Her partner Morris had kept a network of specialists, academics who could identify obscure markings and unusual materials."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags5
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags0
80.7942%